AI in Retail
summary
Claims that data and AI cut operational cost and free staff time by automating supply‑chain planning, dynamic pricing, call‑centre routing, inventory allocation and product search (examples: finding yellow dresses, checking if a washing machine fits). Describes a staffed, trained model mixing data engineers with retail experts and running the UK's largest data apprenticeship scheme in retail. Reports rapid scaling for home delivery during the pandemic and aims for search and recommendations that actually work.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 0:55AI in Retail
- 1:38Hiring the right people
- 2:16Do employees have to know anything
- 3:01Do you watch your competitors
- 3:54Do you look at other industries
- 4:45How has the pandemic affected your business
- 5:37Is the pandemic now stabilized
- 6:10A year from now
related talks
31mAI in the Retail Sector
42mThe Rise of AI
23mArtificial Intelligence for Store Assistance
23mAI Here & Now
27mLeveraging AI for Resilient Supply Chains
30mAI in Retail - Advancing Promo Demand Forecasting
38mOptimizing Retail Forecasting Through AI Models
26mAI-Powered Predictive Analytics: Optimize Performance
